Realizing method of integratiy of customer data

Abstract

A method for realizing completeness of client data includes distinguishing personal client data and unit client data, distinguishing unit value basic attribute and multivalue self - defined attribute of client data and recording information of data provider, data reviser, data value prior to revision, data value after revision, etc in detail way.

Description

technical field [0001] The invention relates to a method for realizing the integrity of customer data. The method realizes the integrity of the customer data by providing multi-value entry for the attributes of the customer data and recording the changes of the customer attribute values ​​in detail. The present invention can be applied in any customer management information system. Background technique [0002] Usually, customer management information systems can be structured in various ways for different application themes of enterprises. For example, simple applications only provide functions such as input, modification, deletion, and query of customer data, while slightly more complex applications provide On the basis of customer data management, it is combined with some business processes of the enterprise, such as customer-oriented order management, transaction record management, and so on. A more complex application is a complex customer relationship management syste...

AI Technical Summary

Problems solved by technology

[0003] First of all, the attribute items of the provided customer data are limited, so that it cannot meet other attribute maintenance requirements other than the fixed attributes provided by the system; secondly, for each attribute of a customer, usually there can only be one value, in this case It cannot meet the requirement of having multiple values ​​for each attribute. Even some software such as Microsoft's OutLook also provides the function of multi-value entry, but they limit the number of records. When the number of a certain attribute value exceeds If the limit number is exceeded, the previous value will be automatically overwritten, so the problem of multiple attribute values ​​is not well solved; again, the information about the provider of each attribute value is not recorded, so that the attribute cannot be determined The credibility of the value, etc.; finally, after the user modifies the value of an attribute, the original value is replaced by the current value, and there is no detailed record information about the modification process, so it cannot Reflect a certain attribute of customer data or the change history of certain attributes

To sum up, the management of customer data in all current customer management applications is single-valued, static, and incomplete, so it cannot well meet the increasingly complex application requirements

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